Manufacturing Engineer

Knauf Insulation • McGregor, TX

31d • Hybrid

About The Position

As a Manufacturing Engineer, you will gain hands-on experience across multiple disciplines within Knauf plants. You may work in various areas of plant operations, supporting production lines to optimise processes and troubleshoot shop-floor issues. Typical responsibilities include hands-on data collection to support continuous improvement, documentation, cross-functional collaboration, and quality assurance. To provide exposure to these disciplines, relocation to different plants across North America may be required every 9 to 12 months.

Requirements

• Degree in Engineering (Industrial, Mechanical, or a related technical field) is required

Responsibilities

• Collect, analyze and present data to optimize processes to reach efficient cycle times, effective maintenance routines, reliable equipment performance, improve material flow, identify waste and bottle necks, these in order to ensure the best product quality, efficiency of processes and repeatability while being cost effective.
• Update training documentation to support operator competency and alignment to process changes.
• Monitors impact of asset operational routines through established KPIs.
• Partner with cross-functional teams to refine processes, enhance process control systems, and improve reliability and output consistency.
• Link manufacturing performance and product quality by understanding the business needs via Safety, Environmental Controls, Production KPIs, Standard Operating Procedures, Work Instructions, ISO Standards, Lean CI Tools and Best Practices
• Validate standard work
• Refine training documentation
• Document process Quality Acceptance Criteria
• Create and track indicator for systemic failures identification
• Failures data collection
• Measure impact correction/prevention implementation
• Validate effectiveness of change
• Value stream mapping
• Non-value add identification
• Bottle neck identification
• Times and movement studies
• Efficiency of use: people, resources and process
• Design of Experiments data collection
• PM optimization data collection
• Statistical correlation between routines and equipment up-time
• Spare parts data collection
• Parts availability
• Consumption
• Benchmark other sites best practices

Benefits

• Medical, Dental, Vision – starting on day one!
• Virtual Medical Services
• Fertility and adoption benefits
• 401(k) Retirement Plan (earn 100% matching on your first 6% contribution and fully vested day one)
• Paid parental leave
• Paid Family Leave
• Company provided Salary Continuance (Short-term Disability)
• Company paid life insurance
• Paid Holidays
• Vacation
• Tuition Reimbursement
• Employee Assistance Program (EAP)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level